aqsahassan Goto Github PK

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

fine-grained-vehicle-classification

Final Project for CS 230: Deep Learning

flask-uploadfiles

Upload files using Flask

gdp-satellite-prediction

Processing of satellite images taken during the nighttime to predict the GDP of countries

grab-ai-computer-vision-challenge

Grab AI Computer Vision Challenge

groupsc

Code for the paper: Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration (ECCV 2020)

hdr-imaging

HDR Imaging with Local and Global Tonemapping

high-dynamic-range-imaging

This is a python project to implement HDR imaging process with jupyter notebook.

honours_project

Deep neural networks for classification of multispectral images.

hyperspectral-image-classification-using-deep-learning

Hyperspectral Image Classification using Deep Neural Network Architectures with Transfer Learning

icip_demo

Industrial Demo 2021

illumination-based-transformations-skin-lesion-segmentation

This is the code corresponding to our CVPR ISIC 2020 paper.

image-quality-assessment-benchmark

A collection of state-of-the-art image quality assessment algorithms

image-quality-assessment-toolbox

Toolbox of commonly-used image quality assessment algorithms.

image_augmentor

Data augmentation tool for images

imageprocessing_course_icmc

Image Processing Course at ICMC/USP

imgcrop

Simple image augmentation library focusing on random geometric cropping

isic2018

Lesion attributes segmentation for melanoma detection with multi-task U-Net

isic2018-1

Code for the ISIC2018 Lesion Diagnosis Challenge

keras-cats-dogs-tutorial

A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set.

keras-flask-deploy-webapp

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

keypointdetection-homography-epipolargeometry

Programs to detect keyPoints in Images using SIFT, compute Homography and stitch images to create a Panorama and compute epilines and depth map between stereo images.

learning_to_see_in_the_dark_pytorch

Learning to See in the Dark in PyTorch

license-plate-recognition-nigerian-vehicles

A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate

licenseplatedetector-deployment-flask

Deployment of ML model using flask

lime

Lime: Explaining the predictions of any machine learning classifier

linux-unattended-installation

This project provides all you need to create an unattended installation of a minimal setup of Linux.

lp_demo

luminancehdr

A complete workflow for HDR imaging

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.